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sr_backtest

Read-onlyIdempotent

Backtest a strategy with an S/R config block (read-only simulation).

Runs the existing backtest engine with strategy_type (default "support_resistance": bounce-long off detected support, exit on a support break or resistance-fail; on spot a SHORT signal is exit-to-flat) and merges the validated sr_config into params["sr"]. asset is a token mint; timeframe one of 1m/5m/15m/1h/4h/1d; start_date/end_date ISO-8601. Returns the standard performance metrics plus persisted SUPPORT_RESISTANCE signals carrying zone metadata. Read-only simulation -- no fee, no on-chain action, not financial advice (DYOR).

Workflow: SIMULATE step -- validate an S/R setup on history before risking capital; feeds get_risk_assessment -> sr_configure_strategy. See get_trading_workflow.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
assetYes
paramsNo
fee_bpsNo
end_dateYes
caller_idNo
sr_configNo
timeframeYes
start_dateYes
slippage_bpsNo
strategy_typeNosupport_resistance
slippage_modelNofixed
wallet_addressNo
initial_capitalNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.5/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint. The description adds context: 'no fee, no on-chain action', and describes return values including standard performance metrics and SUPPORT_RESISTANCE signals. No contradictions with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured: a concise first sentence states the purpose, followed by parameter details, return info, and workflow. Every sentence adds value, and it is front-loaded. No unnecessary repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Considering the tool's complexity (13 parameters, 4 required), rich annotations, and existence of an output schema, the description is comprehensive. It explains the workflow, differentiates from siblings, and describes return values. It meets the needs for selecting and invoking the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It explains required parameters: 'asset is a token mint', 'timeframe one of 1m/5m/15m/1h/4h/1d', and 'start_date/end_date ISO-8601'. It also mentions merging sr_config into params['sr']. This adds significant meaning beyond the schema for key parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Backtest a strategy with an S/R config block (read-only simulation)', specifying the verb (backtest), resource (strategy with S/R config), and scope. It distinguishes from sibling 'backtest_strategy' by focusing on support/resistance configuration.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains the workflow as a 'SIMULATE step' to validate an S/R setup before risking capital, and mentions it feeds into other tools. It states 'Read-only simulation' and 'not financial advice'. However, it does not explicitly exclude cases when not to use this tool over other backtesting tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

B3.2/5.0
Disambiguation2/5

Multiple tools overlap significantly: close_perp_position vs perp_close, get_leaderboard vs get_score_leaderboard vs get_strategy_leaderboard, get_venue_status vs get_all_venues_status, send_token_social vs bulk_send_social, and get_crank_score vs get_score. Several read-only tools have nearly identical purposes, and the descriptions do not always clarify boundaries.

Naming Consistency4/5

Most tools follow a consistent verb_noun snake_case pattern (get_balances, create_strategy, set_alert, list_webhooks). However, there are deviations like 'lst_swap', 'jupiter_swap', 'flash_loan', 'sr_backtest', and the use of both 'get_' and 'list_' for reads, plus category prefixes like 'perp_' and 'strategy_' that vary in order. Overall still readable and predictable.

Tool Count1/5

177 tools is an extreme count for any server, far exceeding the 25+ threshold for 'too many'. Even a full DeFi platform does not need this many separate operations; the surface is overwhelming and clearly not well-scoped.

Completeness3/5

The domain (Solana DeFi trading) is covered extensively across swaps, perps, lending, staking, strategies, signals, and support. However, there are notable gaps: no lend_withdraw, no direct way to close a lending position, no spot order cancellation (though aggregator-based swaps may not need it), and a general lack of tiered account management. The huge number of tools makes it hard to identify missing lifecycle steps.

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